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Thomas WeberTW

Thomas Weber

Data Scientist - Machine Learning Engineer

€450/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Thomas

Centralien engineer specialized in machine learning, I offer you support to carry out your data valorization projects with confidence:
• Understanding your business, listening to your needs, expectations, and challenges
• Collecting, cleaning, analyzing, and visualizing data from multiple sources
• Modeling, optimizing, and deploying machine learning models
• Developing proof of concepts (POC) or APIs
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Freelance
    Data Scientist
    TECH
    May 2018 - Today (8 years and 1 month)
    Paris, France
    Examples of projects carried out:
    - Exploratory analysis of nutritional data
    - Movie recommendation engine
    - Prediction of flight delays
    - Segmentation of customer behavior on an e-commerce site
    - Categorization of questions on a Q&A site - "tagging"
    - Classification of dog images

    More details here: https://github.com/serphone/data-scientist-formation-OCR
    Python Numpy Pandas Scikit-learn Keras Matplotlib TensorFlow Flask
  • Freelance
    Python Developer
    FASHION AND COSMETICS
    September 2017 - February 2018 (6 months)
    Paris, France
    Creation of web scrapers for extracting and analyzing keywords from fashion blogs, in order to establish a correlation between blog influence and handbag sales.
    Python Scrapy Data mining
  • Indépendant
    Trader
    BANKING AND INSURANCE
    January 2013 - December 2016 (4 years)
    Paris, France
    Taking positions in the foreign exchange market.
    Technical Analysis Metatrader Graphical Analysis Statistical Indicators

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Education

  • Data Scientist
    Open ClassRooms
    2019
    Formation en ligne réalisée en partenariat avec CentraleSupélec. Suivi par un coach individuel (un data scientist expérimenté), le parcours est un mélange de cours en ligne (MOOCs) et d'une série de projets professionnalisants. Les projets sont des études de cas concrètes nécessitant l'acquisition des différentes compétences d'un data scientist. Compétences acquises: Nettoyage et analyse de données, modèles supervisés et non-supervisés, traitement du langage (NLP), traitement d'images, deep learning. Exemples de projets: Moteur de recommandation de films, segmentation de clients d'un site d'e-commerce, classification d'images de chiens.
  • Engineer
    Ecole Centrale Paris
    2011
    Diplôme d'ingénieur - option "Systèmes Avancés". Exemples de cours suivis: statistiques, programmation, intelligence artificielle, réseaux de neurones, vision par ordinateur

Skill set

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